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The purpose of this paper is to know which growth-impeding constraints are perceived to act upon operations of small- to medium-sized (SME) companies by their owner-managers and to recommend transitionary paths to elevate constraints and increase contribution levels made by SMEs’ operations. To do so, this research has been primarily founded upon Hayes et al.’s (2005) operations contribution model for differentiating between different levels of operations’ contribution, and secondarily on the theory of constraints philosophy to explain the perceptions of constraints found at each level – current and future.

An open-ended survey and a series of group workshops have gathered new empirical data about these perceptions, which were coded using the relational content analysis to identify a parsimonious set of perceptual growth-impeding constraint categories. The most popular transitions were identified and a correlation of frequency rank orders between “perceived current” and “perceived future” constraints categories was calculated, and likely transitionary paths for growth are discussed. Three SME case studies were documented in related action research to contextualise survey findings.

The most popular transition was from “neutral” to “leading”. A lack of people capability was perceived to be the most commonly reported growth-impeding constraint category, followed by a combined lack of process competence and product and service innovation, further followed by a lack of skills in information technology automation. In addition, a new conceptual model has been generated inductively to address shortcomings found in the original operations contribution model (Hayes et al., 2005) during its application to UK SMEs. The new model is referred to in this paper as the “Operations Growth Rocket”.

This research only used data from UK SMEs.

This work should help SME owner-managers to overcome growth-impeding constraints that act upon their operations and assist them to develop more effective actions and paths to increase the contribution levels made by their operations. This in turn should support growth of their organisations. Findings will also inform teaching about more effective operations management in SMEs.

This work should help UK SMEs to grow, which in turn will strengthen the UK economy.

A novel approach and new data from 208 SMEs modify a classical operations contribution model (Hayes et al., 2005). This is achieved by considering transitionary paths to be meta-categories continua abstracted from constraint categories combined with case data for moving towards higher levels of operations contribution, rather than using discrete growth-impeding and growth-constraining “levels”. This research has inductively generated a new version of the classical contribution model that should be more suitable for stimulating growth in (UK) SMEs.

The purpose of this paper is to explore and disseminate knowledge about quantum-inspired computing technology's potential to solve complex challenges faced by the operational agility capability in Industry 4.0 manufacturing and logistics operations.

A multi-case study approach is used to determine the impact of quantum-inspired computing technology in manufacturing and logistics processes from the supplier perspective. A literature review provides the basis for a framework to identify a set of flexibility and agility operational capabilities enabled by Industry 4.0 Information and Digital Technologies. The use cases are analyzed in depth, first individually and then jointly.

Study results suggest that quantum-inspired computing technology has the potential to harness and boost companies' operational flexibility to enhance operational agility in manufacturing and logistics operations management, particularly in the Industry 4.0 context. An exploratory model is proposed to explain the relationships between quantum-inspired computing technology and the deployment of operational agility capabilities.

This is study explores the use of quantum-inspired computing technology in Industry 4.0 operations management and contributes to understanding its potential to enable operational agility capability in manufacturing and logistics operations.

Many countries aim to improve public services by use of information and communication technology (ICT) in public service supply chains. However, the literature does not address how inter-organizational ICT is used in redesigning these particular supply chains. The purpose of this paper is to explore this important and under-investigated area.

An explorative multiple-case study was performed based on 36 interviews, 39 documents, extensive field visits and observations providing data on digital transformation in four European criminal justice supply chains.

Two different design approaches to digital transformation were found, which are labelled digitization and digitalization. These approaches are characterized by differences in public service strategies, performance aims, and how specific public characteristics and procedures are dealt with. Despite featuring different roles for ICT, both types show the viable digital transformation of public service supply chains. Additionally, the application of inter-organizational ICT is found not to automatically result in changes in the coordination and management of the chain, in contrast to common assumptions.

This paper is one of the first to adopt an inter-organizational perspective on the use of ICT in public service supply chains. The findings have scientific and managerial value because fine-grained insights are provided into how public service supply chains can use ICT in an inter-organizational setting. The study shows the dilemmas faced by and possible options for public organizations when designing digital service delivery.

This paper aims to examine the development and piloting of a novel European framework for community engagement (CE) in higher education, which has been purposefully designed to progress the CE agenda in a European context.

The proposed framework was co-created through the European Union (EU)-funded project towards a European framework for community engagement in higher education (TEFCE). The TEFCE Toolbox is an institutional self-reflection framework that centres on seven thematic dimensions of CE. This paper follows the development of the TEFCE Toolbox through empirical case study analysis of four European universities and their local communities.

The findings in this paper indicate that the TEFCE Toolbox facilitates context-specific applications in different types of universities and socioeconomic environments. Incorporating insights from engagement practitioners, students and community representatives the TEFCE Toolbox was successfully applied in universities with diverse profiles and missions. The process facilitated the recognition of CE achievements and the identification of potential areas for improvement.

Despite a range of international initiatives, there remains an absence of initiatives within the European higher education area that focus on developing tools to comprehensively support CE. The TEFCE Toolbox and case-study analysis presented in this paper address this gap in knowledge. The broader societal contribution and social responsibility of higher education have become increasingly prominent on the European agenda. The TEFCE Toolbox represents an innovative, robust and holistic European framework with the potential to support universities in reflecting upon their pursuit of addressing grand societal challenges, whilst promoting CE.

The study aims to define a research agenda for creating resource-efficient supply chains (RESCs) by identifying and analysing their key characteristics as well as future research opportunities.

We follow a systematic review method to analyse the literature and to understand RESC, taking a substantive theory approach. Our approach is grounded in a specific domain, the agri-food sector, because it is an intensive user of an extensive range of resources.

The review shows that works of literature has looked at the use of resources primarily from the environmental impact perspective. There is a need to explore whether or not and how logistics/supply chain decisions will affect the overall configuration of future food supply chains in an era of resource scarcity and depletion and what the trade-offs will be.

The paper proposes an agenda for future research in the area of RESC. The framework proposed along with the key characteristics identified for RESC can be applied to other sectors.

Our research should facilitate further understanding of the implications and trade-offs of supply chain decisions taken on the use of resources by supply chain managers.

The paper explores the interaction between supply chains and natural resources and defines the key characteristics of RESC.

This paper examines factors that lead consumers to engage in unethical consumer behaviour (UECB) to develop a framework for understanding this phenomenon.

The study data were collected using the qualitative approach by conducting personal interviews with 27 marketers in two Arab countries, Libya and Syria.

The findings indicate that previous models of UECB are applicable to Arab consumers. However, the effects of the examined factors on UECB adoption are influenced by the local environment. Also, the paper explored some newly factors that clearly affect UECB.

This study provides a model of UECB for Arab consumers to help companies to understand Arab consumers’ behaviour. This model determines the influencing factors on this behaviour that companies can use to build their marketing strategies directed at the Libyan and Syrian markets during the reconstruction phase. Moreover, the research results help companies avoid and control UECB.

Almost all studies of UECB have been conducted in Western countries; the present study attempts to address this gap in the ethical decision-making literature, as well as marketing literature, and examine the UECB in Arab countries. Furthermore, previous studies of UECB mostly look at one typical form of UECB; this study provides a broader contribution to the literature on UECB by using a set of scenarios; shoplifting, software piracy and pilfering from hotel rooms.

Why are some lean workfloor teams able to improve their already high performance, over time, and others not? By studying teams' and leaders' behaviour-value patterns, this abductive field study uncovers a dynamic capability at the team level.

Various methods were employed over three consecutive years to thoroughly examine five initially high-performing lean workfloor teams, including their leaders. These methods encompassed micro-behavioural coding of 59 h of film footage, surveys, individual and group interviews, participant observation and archival data, involving objective and perceptual team-performance indicators. Two of the five teams continued to improve and perform highly.

Continuously improving high lean team performance is found to be associated with (1) team behaviours such as frequent performance monitoring, information sharing, peer support and process improvement; (2) team leaders who balance, over time, task- and relations-oriented behaviours; (3) higher-level leaders who keep offering the team face-to-face support, strategic clarity and tangible resources; (4) these three actors' endorsement of self-transcendence and openness-to-change work values and alignment, over time, with their behaviours; and (5) coactive vicarious learning-by-doing as a “stable collective activity pattern” among team, team leader, and higher-level leadership.

Since lean has been undertheorised, the authors invoked insights from organisational behaviour and management theories, in combination with various fine- and coarse-grained data, over time. The authors uncovered actors' behaviour-value patterns and a collective learning-by-doing pattern that may explain continuous lean team performance improvement. Four theory-enriching propositions were developed and visualised in a refined model which may already benefit lean practitioners.